Arianna Yuan

Artificial Intelligence · with Ermon · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it

Whom Arianna Yuan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma
2. Tom Michael Mitchell
3. Individualized Treat

Papers from Arianna Yuan's perspective

Ordered by how strongly the researchers Arianna Yuan trusts endorse each paper. Same corpus, a different order for every researcher.

1. GENERATIVE ADVERSARIAL NETS
2. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
3. Improved Techniques for Training GANs
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Gradient-based learning applied to document recognition
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Bias and Generalization in Deep Generative Models: An Empirical Study (2018) — 160 citations